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Related Experiment Video

Updated: Feb 9, 2026

Author Spotlight: Exploring Light-Driven Chemical Reactions and Energy-Harnessing Devices in Photochemical Research
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Data from fitting Gaussian process models to various data sets using eight Gaussian process software packages.

Collin B Erickson1, Bruce E Ankenman1, Susan M Sanchez1

  • 1Northwestern University, Naval Postgraduate School, United States.

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Summary
This summary is machine-generated.

This study compares Gaussian process software packages using summary data from function tests. The results help users select the best Gaussian process software for their specific needs.

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Area of Science:

  • Computational statistics
  • Machine learning
  • Data science

Background:

  • Gaussian processes are powerful tools for modeling complex functions.
  • Numerous software packages exist for implementing Gaussian process models.
  • A systematic comparison of these packages is needed to guide users.

Purpose of the Study:

  • To provide a comprehensive dataset comparing the performance of various Gaussian process software packages.
  • To facilitate informed decisions for researchers and practitioners selecting Gaussian process software.

Main Methods:

  • Data generated from tests comparing eight Gaussian process model-fitting packages.
  • Each test focused on a specific function type and input sample size.
  • Results from five replicates per package and function are included.
  • A separate comparison of two packages for stochastic kriging is presented.

Main Results:

  • Summary data tables are provided for each function and input size.
  • Direct comparisons of package performance across different scenarios are enabled.
  • The data allows for evaluation of accuracy and computational efficiency.

Conclusions:

  • The provided data facilitates objective comparison of Gaussian process software.
  • Users can identify the most suitable package based on their specific application requirements.
  • This resource aids in the selection of efficient and accurate Gaussian process tools.